WANGXinyiLinda / concept-based-demonstration-selectionLinks
Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
☆75Updated last year
Alternatives and similar repositories for concept-based-demonstration-selection
Users that are interested in concept-based-demonstration-selection are comparing it to the libraries listed below
Sorting:
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 7 months ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- ☆100Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- ☆178Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆60Updated 2 years ago
- ☆53Updated last year
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆170Updated last year
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆108Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆21Updated 10 months ago
- ☆43Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆73Updated 8 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆78Updated 7 months ago
- ☆46Updated last year
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆94Updated 3 years ago
- Active Example Selection for In-Context Learning (EMNLP'22)☆49Updated last year
- Learning adapter weights from task descriptions☆19Updated last year
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- ☆88Updated 2 years ago
- ☆45Updated 2 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆102Updated 2 years ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆108Updated 2 years ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆45Updated 9 months ago